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Manish Chugh

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Principal Solution Architect AWS

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AWS re:Invent 2024 - Power a cost-effective RAG solution using Amazon Titan Embeddings Text (AIM358)

Organizations aim to use generative AI to process large documents and make them searchable for various tasks such as Q&A, summarization, and conversational assistants. Selecting the right embedding model is crucial in improving the accuracy of these tasks. In this session, learn how NetDocuments is utilizing binary Amazon Titan Embeddings Text, which can handle billions of documents at 40 times lower cost.

Learn more: AWS re:Invent: https://go.aws/reinvent. More AWS events: https://go.aws/3kss9CP

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About AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

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